Papers
8,340 papers found
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains
Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy et al.
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
Francesco Tonin, Alex Lambert, Panagiotis Patrinos et al.
Extrapolated Random Tree for Regression
Yuchao Cai, Yuheng Ma, Yiwei Dong et al.
Extrapolative Controlled Sequence Generation via Iterative Refinement
Vishakh Padmakumar, Richard Yuanzhe Pang, He He et al.
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
Guillaume Staerman, Cédric Allain, Alexandre Gramfort et al.
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Agm Duval, Victor Schmidt, Alex Hernández-Garcı́a et al.
Fair and Accurate Decision Making through Group-Aware Learning
Ramtin Hosseini, Li Zhang, Bhanu Garg et al.
Fair and Optimal Classification via Post-Processing
Ruicheng Xian, Lang Yin, Han Zhao
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Kwangho Kim, Jose R Zubizarreta
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
Alexander Soen, Hisham Husain, Richard Nock
FAIRER: Fairness as Decision Rationale Alignment
Tianlin Li, Qing Guo, Aishan Liu et al.
Fair Neighbor Embedding
Jaakko Peltonen, Wen Xu, Timo Nummenmaa et al.
Fairness in Matching under Uncertainty
Siddartha Devic, David Kempe, Vatsal Sharan et al.
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard et al.
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov et al.
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Hongzuo Xu, Yijie Wang, Juhui Wei et al.
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
Ameya Velingker, Maximilian Vötsch, David Woodruff et al.
Fast Algorithms for Distributed k-Clustering with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang et al.
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki, Wenyu Chen, Xiang Meng et al.
Fast Combinatorial Algorithms for Min Max Correlation Clustering
Sami Davies, Benjamin Moseley, Heather Newman
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael Eli Sander, Joan Puigcerver, Josip Djolonga et al.
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Lesi Chen, Jing Xu, Luo Luo
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
Raman Arora, Raef Bassily, Tomás González et al.